Tuesday, April 7. 2015

tl;dr With a reasonably simple fuzzing setup I was able to rediscover the Heartbleed bug. This uses state-of-the-art fuzzing and memory protection technology (american fuzzy lop and Address Sanitizer), but it doesn't require any prior knowledge about specifics of the Heartbleed bug or the TLS Heartbeat extension. We can learn from this to find similar bugs in the future.

Exactly one year ago a bug in the OpenSSL library became public that is one of the most well-known security bug of all time: Heartbleed. It is a bug in the code of a TLS extension that up until then was rarely known by anybody. A read buffer overflow allowed an attacker to extract parts of the memory of every server using OpenSSL.

Can we find Heartbleed with fuzzing?

Heartbleed was introduced in OpenSSL 1.0.1, which was released in March 2012, two years earlier. Many people wondered how it could've been hidden there for so long. David A. Wheeler wrote an essay discussing how fuzzing and memory protection technologies could've detected Heartbleed. It covers many aspects in detail, but in the end he only offers speculation on whether or not fuzzing would have found Heartbleed. So I wanted to try it out.

Of course it is easy to find a bug if you know what you're looking for. As best as reasonably possible I tried not to use any specific information I had about Heartbleed. I created a setup that's reasonably simple and similar to what someone would also try it without knowing anything about the specifics of Heartbleed.

Heartbleed is a read buffer overflow. What that means is that an application is reading outside the boundaries of a buffer. For example, imagine an application has a space in memory that's 10 bytes long. If the software tries to read 20 bytes from that buffer, you have a read buffer overflow. It will read whatever is in the memory located after the 10 bytes. These bugs are fairly common and the basic concept of exploiting buffer overflows is pretty old. Just to give you an idea how old: Recently the Chaos Computer Club celebrated the 30th anniversary of a hack of the German BtX-System, an early online service. They used a buffer overflow that was in many aspects very similar to the Heartbleed bug. (It is actually disputed if this is really what happened, but it seems reasonably plausible to me.)

Fuzzing is a widely used strategy to find security issues and bugs in software. The basic idea is simple: Give the software lots of inputs with small errors and see what happens. If the software crashes you likely found a bug.

When buffer overflows happen an application doesn't always crash. Often it will just read (or write if it is a write overflow) to the memory that happens to be there. Whether it crashes depends on a lot of circumstances. Most of the time read overflows won't crash your application. That's also the case with Heartbleed. There are a couple of technologies that improve the detection of memory access errors like buffer overflows. An old and well-known one is the debugging tool Valgrind. However Valgrind slows down applications a lot (around 20 times slower), so it is not really well suited for fuzzing, where you want to run an application millions of times on different inputs.

Address Sanitizer finds more bug

A better tool for our purpose is Address Sanitizer. David A. Wheeler calls it “nothing short of amazing”, and I want to reiterate that. I think it should be a tool that every C/C++ software developer should know and should use for testing.

Address Sanitizer is part of the C compiler and has been included into the two most common compilers in the free software world, gcc and llvm. To use Address Sanitizer one has to recompile the software with the command line parameter -fsanitize=address . It slows down applications, but only by a relatively small amount. According to their own numbers an application using Address Sanitizer is around 1.8 times slower. This makes it feasible for fuzzing tasks.

For the fuzzing itself a tool that recently gained a lot of popularity is american fuzzy lop (afl). This was developed by Michal Zalewski from the Google security team, who is also known by his nick name lcamtuf. As far as I'm aware the approach of afl is unique. It adds instructions to an application during the compilation that allow the fuzzer to detect new code paths while running the fuzzing tasks. If a new interesting code path is found then the sample that created this code path is used as the starting point for further fuzzing.

Currently afl only uses file inputs and cannot directly fuzz network input. OpenSSL has a command line tool that allows all kinds of file inputs, so you can use it for example to fuzz the certificate parser. But this approach does not allow us to directly fuzz the TLS connection, because that only happens on the network layer. By fuzzing various file inputs I recently found two issues in OpenSSL, but both had been found by Brian Carpenter before, who at the same time was also fuzzing OpenSSL.

Then I added the possibility of switching out parts of the handshake messages by files I pass on the command line. By calling my test application selftls with a number and a filename a handshake message gets replaced by this file. So to test just the first part of the server handshake I'd call the test application, take the output file packed-1 and pass it back again to the application by running selftls 1 packet-1. Now we have all the pieces we need to use american fuzzy lop and fuzz the TLS handshake.

I compiled OpenSSL 1.0.1f, the last version that was vulnerable to Heartbleed, with american fuzzy lop. This can be done by calling ./config and then replacing gcc in the Makefile with afl-gcc. Also we want to use Address Sanitizer, to do so we have to set the environment variable AFL_USE_ASAN to 1.

There are some issues when using Address Sanitizer with american fuzzy lop. Address Sanitizer needs a lot of virtual memory (many Terabytes). American fuzzy lop limits the amount of memory an application may use. It is not trivially possible to only limit the real amount of memory an application uses and not the virtual amount, therefore american fuzzy lop cannot handle this flawlessly. Different solutions for this problem have been proposed and are currently developed. I usually go with the simplest solution: I just disable the memory limit of afl (parameter -m -1). This poses a small risk: A fuzzed input may lead an application to a state where it will use all available memory and thereby will cause other applications on the same system to malfuction. Based on my experience this is very rare, so I usually just ignore that potential problem.

After having compiled OpenSSL 1.0.1f we have two files libssl.a and libcrypto.a. These are static versions of OpenSSL and we will use them for our test application. We now also use the afl-gcc to compile our test application:

AFL_USE_ASAN=1 afl-gcc selftls.c -o selftls libssl.a libcrypto.a -ldl

Now we run the application. It needs a dummy certificate. I have put one in the repo. To make things faster I'm using a 512 bit RSA key. This is completely insecure, but as we don't want any security here – we just want to find bugs – this is fine, because a smaller key makes things faster. However if you want to try fuzzing the latest OpenSSL development code you need to create a larger key, because it'll refuse to accept such small keys.

The application will give us six packet files, however the last two will be empty. We only want to fuzz the very first step of the handshake, so we're interested in the first packet. We will create an input directory for american fuzzy lop called in and place packet-1 in it. Then we can run our fuzzing job:

afl-fuzz -i in -o out -m -1 -t 5000 ./selftls 1 @@

We pass the input and output directory, disable the memory limit and increase the timeout value, because TLS handshakes are slower than common fuzzing tasks. On my test machine around 6 hours later afl found the first crash. Now we can manually pass our output to the test application and will get a stack trace by Address Sanitizer:

0x629000013748 is located 0 bytes to the right of 17736-byte region [0x62900000f200,0x629000013748)allocated by thread T0 here:
#0 0x7f228f6186f7 in malloc (/usr/lib/gcc/x86_64-pc-linux-gnu/4.9.2/libasan.so.1+0x576f7)
#1 0x57f026 in CRYPTO_malloc /home/hanno/code/openssl-fuzz/tests/openssl-1.0.1f/crypto/mem.c:308

We can see here that the crash is a heap buffer overflow doing an invalid read access of around 32 Kilobytes in the function tls1_process_heartbeat(). It is the Heartbleed bug. We found it.

I want to mention a couple of things that I found out while trying this. I did some things that I thought were necessary, but later it turned out that they weren't. After Heartbleed broke the news a number of reports stated that Heartbleed was partly the fault of OpenSSL's memory management. A mail by Theo De Raadt claiming that OpenSSL has “exploit mitigation countermeasures” was widely quoted. I was aware of that, so I first tried to compile OpenSSL without its own memory management. That can be done by calling ./config with the option no-buf-freelist.

But it turns out although OpenSSL uses its own memory management that doesn't defeat Address Sanitizer. I could replicate my fuzzing finding with OpenSSL compiled with its default options. Although it does its own allocation management, it will still do a call to the system's normal malloc() function for every new memory allocation. A blog post by Chris Rohlf digs into the details of the OpenSSL memory allocator.

Breaking random numbers for deterministic behaviour

When fuzzing the TLS handshake american fuzzy lop will report a red number counting variable runs of the application. The reason for that is that a TLS handshake uses random numbers to create the master secret that's later used to derive cryptographic keys. Also the RSA functions will use random numbers. I wrote a patch to OpenSSL to deliberately break the random number generator and let it only output ones (it didn't work with zeros, because OpenSSL will wait for non-zero random numbers in the RSA function).

During my tests this had no noticeable impact on the time it took afl to find Heartbleed. Still I think it is a good idea to remove nondeterministic behavior when fuzzing cryptographic applications. Later in the handshake there are also timestamps used, this can be circumvented with libfaketime, but for the initial handshake processing that I fuzzed to find Heartbleed that doesn't matter.

Conclusion

You may ask now what the point of all this is. Of course we already know where Heartbleed is, it has been patched, fixes have been deployed and it is mostly history. It's been analyzed thoroughly.

The question has been asked if Heartbleed could've been found by fuzzing. I'm confident to say the answer is yes. One thing I should mention here however: American fuzzy lop was already available back then, but it was barely known. It only received major attention later in 2014, after Michal Zalewski used it to find two variants of the Shellshock bug. Earlier versions of afl were much less handy to use, e. g. they didn't have 64 bit support out of the box. I remember that I failed to use an earlier version of afl with Address Sanitizer, it was only possible after a couple of issues were fixed. A lot of other things have been improved in afl, so at the time Heartbleed was found american fuzzy lop probably wasn't in a state that would've allowed to find it in an easy, straightforward way.

I think the takeaway message is this: We have powerful tools freely available that are capable of finding bugs like Heartbleed. We should use them and look for the other Heartbleeds that are still lingering in our software. Take a look at the Fuzzing Project if you're interested in further fuzzing work. There are beginner tutorials that I wrote with the idea in mind to show people that fuzzing is an easy way to find bugs and improve software quality.

I already used my sample application to fuzz the latest OpenSSL code. Nothing was found yet, but of course this could be further tweaked by trying different protocol versions, extensions and other variations in the handshake.

In the comments Michele Spagnuolo mentions that by compiling OpenSSL with -DOPENSSL_TLS_SECURITY_LEVEL=0 one can use very short and insecure RSA keys even in the latest version. Of course this shouldn't be done in production, but it is helpful for fuzzing and other testing efforts.

Sunday, September 7. 2008

I recently played around with the possibilities of fuzzing. It's a simple way to find bugs in applications.

What you do: You have some application that parses some kind of file format. You create lots (thousands) of files which have small errors. The simplest approach is to just change random bits. If the app crashes, you've found a bug, it's quite likely that it's a security relevant one. This is especially crucial for apps like mail scanners (antivirus), but pretty much works for every app that parses foreign input. It works especially well on uncommon file formats, because their code is often not well maintained.